Kasper Tolborg

Join a vibrant and interdisciplinary research group at Aalborg University, Department of Chemistry and Bioscience, for a PhD stipend or Integrated PhD stipend in Accelerated Materials Discovery. This opportunity is part of the Villum Young Investigator project, "Entropy in materials design: Accelerated discovery of disordered solid electrolytes," focusing on computational and experimental approaches to develop next-generation sustainable energy materials, particularly solid-state electrolytes for batteries. The project aims to accelerate the discovery of new materials using computational chemistry, machine learning, and molecular dynamics simulations, with a strong emphasis on understanding and designing disorder in crystalline solids. The research will combine density functional theory calculations with machine learning to predict promising disordered materials, followed by experimental validation through solid state synthesis and materials characterization. The balance between computational and experimental work can be tailored to the candidate’s interests and expertise. As a PhD student, you will join the computational materials chemistry group led by Tenure-Track Assistant Professor Kasper Tolborg, within the Section of Disordered Materials. The group offers state-of-the-art computational and experimental infrastructure, a dynamic work environment, and opportunities for interdisciplinary collaboration. The department values diversity, openness, and inclusivity, and encourages applicants from all backgrounds. Eligibility requires a master’s degree in chemistry, chemical engineering, materials science, physics, nanoscience, or a closely related field for the PhD stipend. For the integrated PhD stipend, candidates must be enrolled in a relevant master’s programme. Strong competence in materials chemistry, analytical skills, proficiency in scientific programming (e.g., Python), and excellent English communication are essential. Experience with machine learning, density functional theory, molecular dynamics, solid state synthesis, and materials characterization is advantageous. Collaborative skills and independence are expected. The PhD stipend is typically for 3 years. The integrated PhD stipend includes SU-PhD Grants for up to 2 years during master’s enrollment, followed by 2 years as a PhD fellow under the Danish collective agreement. All PhD students must complete 30 ECTS of PhD courses, gain teaching or dissemination experience, and undertake an external research stay (preferably 3–6 months) outside Aalborg University. Aalborg University is a leading research and educational institution with campuses in Aalborg, Esbjerg, and Copenhagen. The Department of Chemistry and Bioscience hosts approximately 150 employees, 75 PhD students, and 775 bachelor and master’s students, contributing to advances in biology, chemistry, biotechnology, bioengineering, environmental science, and chemical engineering. To apply, submit your application via Aalborg University’s recruitment system, including a motivation statement, CV, diplomas or transcripts, and other relevant documents. The deadline for applications is 1 September 2026. For questions, contact Assistant Professor Kasper Tolborg or the AAU PhD office. The selection process includes shortlisting and assessment by qualified experts. Salary and terms are governed by the Danish Confederation of Professional Associations and the state (AC collective agreement). For more information about the department, visit en.bio.aau.dk . Application link: Apply here .

Two fully funded positions (PhD and Postdoc) are available in the computational materials chemistry group led by Assistant Professor Kasper Tolborg at Aalborg University, Denmark. The research focuses on the design and discovery of next-generation solid electrolytes for batteries, leveraging computational chemistry, machine learning, and experimental validation. The projects are part of the Villum Young Investigator project, "Entropy in materials design: Accelerated discovery of disordered solid electrolytes," and aim to develop computational methods to predict materials with tailored disorder and apply these to solid-state battery technologies. The postdoc position is computational, involving density functional theory (DFT) calculations, machine learning, and collaboration with Associate Professor Alex Ganose at Imperial College London, including a potential exchange stay. The PhD position integrates computational predictions and experimental work, including solid-state synthesis and materials characterization. Both positions are based in the Department of Chemistry and Bioscience, which offers state-of-the-art infrastructure and a dynamic, interdisciplinary environment. Applicants for the postdoc must hold a PhD in chemistry, materials science, physics, nanoscience, or a closely related field, with experience in computational materials science, DFT, machine learning, and scientific programming. The PhD position requires a master's degree in a relevant field, or enrollment in a master's program for the integrated PhD. Experience with machine learning, DFT, molecular dynamics, and experimental techniques is advantageous. Excellent English skills and a collaborative spirit are essential for both roles. Both positions are fully funded under Danish university regulations, with competitive salaries and benefits. The application deadline is 21 April 2026. Applications must be submitted via Aalborg University's recruitment system, with all required documents. For more information, see the official job advertisements or contact Kasper Tolborg at [email protected].

Two research opportunities are available at the Department of Chemistry and Bioscience, Aalborg University in Denmark: a PhD stipend in Accelerated Materials Discovery and a 2-year postdoc in Computational Discovery of Disordered Crystalline Materials . The research theme is computational materials discovery , with a strong emphasis on materials science , computational chemistry , machine learning , data-driven modelling , and the design of sustainable energy materials . The PhD project focuses on developing accelerated approaches for discovering new functional materials using simulations and computational design. The postdoc project focuses on tailoring disorder in crystalline materials to improve performance and unlock new material properties. These positions are hosted in a dynamic, interdisciplinary environment with state-of-the-art computational and experimental facilities. The post specifically highlights collaboration, curiosity, and diversity as valued qualities. Eligibility details are limited in the post, but the advertised profile clearly targets candidates with interest and background in computational methods, chemistry, and materials modelling. The postdoc starts on 1 July 2026 or soon thereafter. Application deadline: 21 April 2026. How to apply: Use the linked application pages for the PhD and postdoc positions. For further information, contact Kasper Tolborg at [email protected] .